Multi-loop Constrained Iterative Model Predictive Control Using ARX-PLS Decoupling Structure

doi:10.1016/S1004-9541(13)60578-9

Chin.J.Chem.Eng. ›› 2013, Vol. 21 ›› Issue (10): 1129-1143.DOI: 10.1016/S1004-9541(13)60578-9

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Multi-loop Constrained Iterative Model Predictive Control Using ARX-PLS Decoupling Structure

LÜ Yan, LIANG Jun

State Key Lab of Industrial Control Technology Department of Control Science & Engineering, Zhejiang University, Hangzhou 310027, China

Received:2012-03-19 Revised:2012-10-20 Online:2013-10-29 Published:2013-10-28
Contact: LIANG Jun
Supported by:
Supported by the National Natural Science Foundation of China (61174114, 60574047), the National High Technology Research and Development Program of China (2007AA04Z168) and the Research Fund for the Doctoral Program of Higher Education of China (20120101130016).

Multi-loop Constrained Iterative Model Predictive Control Using ARX-PLS Decoupling Structure

吕燕, 梁军

State Key Lab of Industrial Control Technology Department of Control Science & Engineering, Zhejiang University, Hangzhou 310027, China

通讯作者: LIANG Jun
基金资助:
Supported by the National Natural Science Foundation of China (61174114, 60574047), the National High Technology Research and Development Program of China (2007AA04Z168) and the Research Fund for the Doctoral Program of Higher Education of China (20120101130016).

Abstract

Abstract: A multi-loop constrained model predictive control scheme based on autoregressive exogenous-partial least squares (ARX-PLS) framework is proposed to tackle the high dimension, coupled and constraints problems in industry processes due to safety limitation, environmental regulations, consumer specifications and physical restriction. ARX-PLS decoupling character enables to turn the multivariable model predictive control (MPC) controller design in original space into the multi-loop single input single output (SISO) MPC controllers design in latent space. An idea of iterative method is applied to decouple the constraints latent variables in PLS framework and recursive least square is introduced to identify ARX-PLS model. This algorithm is applied to a non-square simulation system and a stirred reactor for ethylene polymerizations comparing with adaptive internal model control (IMC) method based on ARX-PLS framework. Its application has shown that this method outperforms adaptive IMC method based on ARX-PLS framework to some extent.

Key words: partial least square, constraint, model predictive control, iterative method

摘要： A multi-loop constrained model predictive control scheme based on autoregressive exogenous-partial least squares (ARX-PLS) framework is proposed to tackle the high dimension, coupled and constraints problems in industry processes due to safety limitation, environmental regulations, consumer specifications and physical restriction. ARX-PLS decoupling character enables to turn the multivariable model predictive control (MPC) controller design in original space into the multi-loop single input single output (SISO) MPC controllers design in latent space. An idea of iterative method is applied to decouple the constraints latent variables in PLS framework and recursive least square is introduced to identify ARX-PLS model. This algorithm is applied to a non-square simulation system and a stirred reactor for ethylene polymerizations comparing with adaptive internal model control (IMC) method based on ARX-PLS framework. Its application has shown that this method outperforms adaptive IMC method based on ARX-PLS framework to some extent.

关键词: partial least square, constraint, model predictive control, iterative method

LÜ Yan, LIANG Jun. Multi-loop Constrained Iterative Model Predictive Control Using ARX-PLS Decoupling Structure[J]. Chin.J.Chem.Eng., 2013, 21(10): 1129-1143.

吕燕, 梁军. Multi-loop Constrained Iterative Model Predictive Control Using ARX-PLS Decoupling Structure[J]. Chinese Journal of Chemical Engineering, 2013, 21(10): 1129-1143.

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Multi-loop Constrained Iterative Model Predictive Control Using ARX-PLS Decoupling Structure

Multi-loop Constrained Iterative Model Predictive Control Using ARX-PLS Decoupling Structure

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